A quality control expert wants to test the null hypothesis that a new solar panel is no more effective than the older model.

What would be the consequence of a Type I error in this context?

Choose $1$ answer:

Choose $1$ answer:

$($Choice A$)$ They don't conclude the new panel is more effective when it actually is not more effective.

A

They don't conclude the new panel is more effective when it actually is not more effective.

$($Choice B$)$ They don't conclude the new panel is more effective when it actually is more effective.

B

They don't conclude the new panel is more effective when it actually is more effective.

$($Choice C$)$ They conclude the new panel is more effective when it actually is more effective.

C

They conclude the new panel is more effective when it actually is more effective.

$($Choice D$)$ They conclude the new panel is more effective when it actually is not more effective.

D

They conclude the new panel is more effective when it actually is not more effective.